Affiliations

Abstract

Objectives: To understand the economic indicator through purchase records. Methods/Statistical Analysis: In this thesis, a system analyzing the economic indicator of the individuals is proposed. The purchase information such as receipt can be either directly entered into the application by the users or entered into the application through the actualized optical character recognition technique. The purchase records such as receipt of the individuals can be entered into the application to be saved in the database and the saved data can be analyzed to analyze the economic activities conducted by the individuals. Since such system can be used to confirm the amount of money spent as well as the particular field the consumption leans toward, the individuals are able to set up their future economic plan. Findings: The proposed system visualizes the detailed information of the economic activities conducted by the individuals based on its database in which diverse purchase records such as receipts that occur during the economic activities conducted by the individuals are saved. The preexisting researches were focused on using the data-mining technique to develop a system that recommends products to customers by predicting their purchase intention. However, most of these researches were conducted to support companies to promote efficient marketing and therefore were unsuitable for providing the integrated economic indicator to the individuals. Accordingly, the proposed system can be used to analyze diverse consumption patterns based on the purchase records of the users and the analyzed result can be used as an important indicator of the individuals’ economic activities. Improvements/Applications: The proposed system can be valuably used to understand the economic indicator of the individuals. In the future research, the accuracy of the optical character recognition must be studied and the big data analysis must be studied as well.